🗓️ This will be a week of hacking and fun from 24 February to 3 March
💻 Create innovative new apps with OpenAI's latest AI tools
💡 Learn from top AI professionals
⚒️ Combine GPT-3, Codex, Dalle-2, and Whisper to build your AI app
🐱‍💻 Now is the time to register and let's get started!

OpenAI Stack Hack

No-rank

Apprentice

iXB3

We are working to create books with a help of generative AI

metabooks

ggpdc

zukap

Metabooks is an AI tool that allows parents to generate personalised illustrated stories for their kids leveraging GPT-3 and DALL-E 2. In this way, parents can help kids learn new concepts, develop new interests, and more. For example, for Monday’s story time you can teach your kid about the internet, on Tuesday a lesson about junk food, on Wednesday the importance of saving money, and so on. Whenever you want to teach something to your kid, just generate an illustrated story in one click! Our next step is to go beyond illustrations, and generate more and more immersive stories through videos and in the future also virtual experiences, always in one click.

Metabooks allows parents to generate personalised illustrated stories for their kids.

MetaBooks

Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multi-task model that can perform multilingual speech recognition as well as speech translation and language identification.

Whisper

DALL·E 2 is a new AI system that can create realistic images and art from a description in natural language.

DALL-E-2

GPT-3 stands for Generative Pre-trained Transformer 3 and it is an autoregressive language model that uses deep learning to produce human-like text. It is the third-generation language prediction model in the GPT-n series created by OpenAI. GPT-3 is currently in open beta.

GPT-3

ChatGPT is a large language model trained by OpenAI to generate human-like text in a conversational style. It is a variant of the GPT-3 model, which was specifically designed to be used to generate text in response to user input. The ChatGPT model has been trained on a vast amount of text data, including conversations and other types of human-generated text, which allows it to generate text that is similar in style and content to human conversation. ChatGPT can be used to generate responses to questions, code, make suggestions, or provide information in a conversational manner, and it is able to do so in a way that is often indistinguishable from human-generated text. The initial model has been trained using Reinforcement Learning from Human Feedback (RLHF), using methods similar to InstructGPT, but with slight differences in the data collection setup. The model is trained using supervised fine-tuning, where human AI trainers provided conversations in which they played both sides—the user and an AI assistant. The trainers would have had access to model-written suggestions to help them compose their responses.

ChatGPT

OpenAI Codex is an artificial intelligence platform that enables developers to translate natural language into code. 

Matteo Causio@iXB3

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Luigi PDC

Zuzana Kapustikova

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MetaBooks

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